3 papers
stat.ME2026
Exact Likelihood Inference for Snowball-Sampled Erdős-Rényi Networks
Nurzhan Sapargali, Sergio Buttazzo, G\''oran Kauermann
Network data obtained through link-tracing designs, such as snowball sampling, are collected through a mechanism that depends on the very structure the analysis seeks to estimate.…
cs.CL2026
The Truncation Blind Spot: How Decoding Strategies Systematically Exclude Human-Like Token Choices
Esteban Garces Arias, Nurzhan Sapargali, Christian Heumann +1
Why does machine-generated text remain detectable? We trace the answer to the decoding stage: standard strategies such as top- and nucleus sampling restrict generation to high-p…
stat.ME2026
Maximum Likelihood Estimation for Network Models with Latent Geometry under Snowball Sampling
Nurzhan Sapargali, Sergio Buttazzo, Göran Kauermann +1
Snowball sampling is a widely used design for collecting network data from large or hard-to-reach populations, yet naive inference that ignores the sampling mechanism produces syst…